This paper presents a complete framework to automatically generate synthetic image sequences by designing and simulating complex human behaviors in virtual environments. Given an initial state of a virtual agent, a simulation ...

This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtained by ...

Human behavior understanding in image sequences requires to study human interaction with the environment, because human beings behave depending on their location. Therefore, a semantic labeling of the scenario must be ...

The increasing interest in Cognitive Vision Systems (CVS) motivates the apparition of ad-hoc stages designed for the integration of multiple kinds of knowledge. This paper proposes a novel ontology to restrict and integrate ...

The integration of cognitive capabilities in computer vision systems requires both to
enable high semantic expressiveness and to deal with high computational costs as large
amounts of data are involved in the analysis. ...

This contribution addresses the generation of textual descriptions in several natural languages for evaluation of human behavior in video sequences. The problem is tackled by converting geometrical information extracted ...

A Multimedia Surveillance System (MSS) is considered for automatically retrieving semantic content from complex outdoor scenes, involving both human behavior and traffic domains. To characterize the dynamic information ...